Litepaper
Abstract
PraxisAI represents a paradigm shift in how developers build and deploy AI applications. By combining the power of Praxis' validation with modern AI development patterns, it creates a framework that is both powerful and practical.
Core Principles
Type Safety First
Strong typing throughout the application lifecycle
Validated inputs and outputs
Clear error messages and debugging
Production Ready
Built for scalability
Performance optimized
Enterprise-grade reliability
Developer Experience
Intuitive API design
Familiar Python patterns
Comprehensive documentation
AI Model Flexibility
Model-agnostic design
Easy integration of new models
Unified interface across providers
Technical Architecture
Components
Agent System
Core execution engine
Tool management
Context handling
Type System
Praxis models
Custom validators
Schema generation
Dependency Injection
Service management
Testing utilities
Resource handling
Monitoring
Logfire integration
Performance tracking
Behavior monitoring
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